Feature Matching (SIFT, SURF, ORB) — MCQs | Digital Image Processing

49
Score: 0
Attempted: 0/49
Subscribe
1. What does SIFT stand for in image processing?



2. Which of the following is a key advantage of the SIFT algorithm?



3. What type of features does SURF primarily detect?



4. What is the full form of SURF in the context of feature detection?



5. Which feature matching method is best suited for real-time applications due to its speed?



6. What does ORB combine from other methods?



7. Which method is not free for commercial use without a license?



8. Which characteristic is shared by all SIFT, SURF, and ORB?



9. Why is ORB considered a good alternative to SIFT and SURF?



10. What does the FAST algorithm detect?



11. In feature matching, what does “descriptor” refer to?



12. What is the primary step in SIFT after detecting scale-space extrema?



13. SURF approximates which mathematical operation to speed up processing?



14. Which of the following is binary descriptor based?



15. Which one of these algorithms is scale-invariant?



16. Which feature detection method is least computationally expensive?



17. What is the function of a descriptor in feature matching?



18. Which algorithm uses integral images for speed optimization?



19. How are ORB descriptors represented?



20. Which of the following is NOT a step in SIFT?



21. Why is ORB more suitable for embedded systems?



22. Which method uses Laplacian of Gaussian (LoG) for scale-space representation?



23. What is the goal of feature matching in image processing?



24. Which step in SIFT helps in achieving rotation invariance?



25. Which of the following does NOT belong to keypoint detectors?



26. In ORB, what is the purpose of BRIEF?



27. Which algorithm introduced orientation compensation in binary descriptors?



28. Which of these algorithms is least robust to image noise?



29. In SIFT, what is used to assign orientation to keypoints?



30. What is the final step in SIFT pipeline?



31. Which descriptor is most memory efficient?



32. What type of matching is typically used with binary descriptors?



33. Which technique is known for both speed and rotation invariance?



34. Which of the following works poorly with scale changes?



35. What does the acronym FAST stand for?



36. Which one is not a descriptor but a detector?



37. Which algorithm is inspired by human vision?



38. Which method uses Difference of Gaussians (DoG)?



39. Which one is more suitable for low-power devices?



40. Which library includes ORB as a standard feature detector?



41. What does keypoint orientation help in achieving?



42. What is the common descriptor vector size for SIFT?



43. Which method is most resistant to image transformations?



44. What is the drawback of BRIEF?



45. Which method uses a Hessian matrix for detection?



46. Which of the following descriptors is most compact?



47. Which algorithm is NOT suitable for real-time applications due to complexity?



48. What is the typical application of feature matching?



49. Which algorithm uses Gaussian smoothing?



More MCQs on Digital image Processing

  1. Introduction to DIP — MCQs | Digital Image Processing

  2. Human Visual System (HVS) — MCQs | Digital Image Processing

  3. Image Acquisition Devices — MCQs | Digital Image Processing

  4. Image Sampling & Quantization — MCQs | Digital Image Processing

  5. Image Resolution & Bit Depth — MCQs | Digital Image Processing

  6. Basic Image Operations (Negative, Log, Power-law) — MCQs | Digital Image Processing

  7. Histogram Equalization & Specification — MCQs | Digital Image Processing

  8. Contrast Stretching — MCQs | Digital Image Processing

  9. Image Arithmetic (Add, Subtract, Multiply, Divide) — MCQs | Digital Image Processing

  10. Bit-plane Slicing — MCQs | Digital Image Processing

  11. Smoothing Filters (Mean, Gaussian, Median) — MCQs | Digital Image Processing

  12. Sharpening Filters (Laplacian, Gradient) — MCQs | Digital Image Processing

  13. High-Boost Filtering — MCQs | Digital Image Processing

  14. Edge Detection (Sobel, Prewitt, Roberts, Canny, LoG) — MCQs | Digital Image Processing

  15. Fourier Transform (DFT, FFT) — MCQs | Digital Image Processing

  16. Frequency Domain Filtering — MCQs | Digital Image Processing

  17. Low-pass & High-pass Filters — MCQs | Digital Image Processing

  18. Homomorphic Filtering — MCQs | Digital Image Processing

  19. Noise Models (Gaussian, Salt & Pepper, Speckle) — MCQs | Digital Image Processing

  20. Adaptive Filtering — MCQs | Digital Image Processing

  21. Inverse & Wiener Filtering — MCQs | Digital Image Processing

  22. Pseudo-color & True-color Processing — MCQs | Digital Image Processing

  23. Color Space Conversion (RGB ↔ HSV, HSI, YCbCr) — MCQs | Digital Image Processing

  24. Color Image Enhancement — MCQs | Digital Image Processing

  25. Image Segmentation (Thresholding, Otsu, K-means, Region Growing) — MCQs | Digital Image Processing

  26. Edge-based Segmentation — MCQs | Digital Image Processing

  27. Region Splitting and Merging — MCQs | Digital Image Processing

  28. Watershed Algorithm — MCQs | Digital Image Processing

  29. Morphological Operations (Erosion, Dilation, Opening, Closing) — MCQs | Digital Image Processing

  30. Boundary Extraction — MCQs | Digital Image Processing

  31. Skeletonization — MCQs | Digital Image Processing

  32. Connected Components Labeling — MCQs | Digital Image Processing

  33. Texture Analysis (GLCM, LBP, Gabor Filters) — MCQs | Digital Image Processing

  34. Shape Descriptors (Perimeter, Area, Compactness, Eccentricity) — MCQs | Digital Image Processing

  35. Statistical Features (Mean, Variance, Skewness) — MCQs | Digital Image Processing

  36. Principal Component Analysis (PCA) — MCQs | Digital Image Processing

  37. Linear Discriminant Analysis (LDA) — MCQs | Digital Image Processing

  38. Feature Matching (SIFT, SURF, ORB) — MCQs | Digital Image Processing

  39. Image Registration — MCQs | Digital Image Processing

  40. Image Stitching — MCQs | Digital Image Processing

  41. Motion Detection & Optical Flow — MCQs | Digital Image Processing

  42. Background Subtraction — MCQs | Digital Image Processing

  43. Object Detection & Tracking — MCQs | Digital Image Processing

  44. Template Matching — MCQs | Digital Image Processing

  45. Pattern Recognition (KNN, SVM, ANN) — MCQs | Digital Image Processing

  46. Image Classification — MCQs | Digital Image Processing

  47. Image Clustering — MCQs | Digital Image Processing

  48. Image Compression (RLE, Huffman, LZW, JPEG, JPEG2000) — MCQs | Digital Image Processing

  49. Video Compression (MPEG, H.264) — MCQs | Digital Image Processing

  50. Image Fusion (Pixel, Feature, Decision Level) — MCQs | Digital Image Processing

  51. Image Watermarking — MCQs | Digital Image Processing

  52. Steganography — MCQs | Digital Image Processing

  53. Face Detection & Recognition — MCQs | Digital Image Processing

  54. Gesture Recognition — MCQs | Digital Image Processing

  55. 3D Image Processing — MCQs | Digital Image Processing

  56. Stereo Vision & Depth Estimation — MCQs | Digital Image Processing

  57. Medical Image Analysis (CT, MRI, Ultrasound) — MCQs | Digital Image Processing

  58. Remote Sensing Image Processing — MCQs | Digital Image Processing

  59. Satellite Image Enhancement — MCQs | Digital Image Processing

  60. Deep Learning for Image Processing (CNN, GANs, Autoencoders) — MCQs | Digital Image Processing

  61. Image Captioning — MCQs | Digital Image Processing

  62. Semantic & Instance Segmentation (Mask R-CNN, U-Net) — MCQs | Digital Image Processing

  63. Super Resolution (SRCNN, ESRGAN) — MCQs | Digital Image Processing

  64. Image Inpainting — MCQs | Digital Image Processing

  65. Image Style Transfer — MCQs | Digital Image Processing

  66. Real-Time Image Processing — MCQs | Digital Image Processing

  67. Augmented Reality (AR) & Virtual Reality (VR) — MCQs | Digital Image Processing

  68. DIP using MATLAB/OpenCV/Python — MCQs | Digital Image Processing

  69. DIP in IoT & Embedded Systems — MCQs | Digital Image Processing

  70. Ethics & Privacy in Image Processing — MCQs | Digital Image Processing

Computer Science Repeated MCQs Book Download

Related Posts:

Contents Copyrights Reserved By T4Tutorials